Top Data & Analytics Jobs in San Francisco, CA

Design and develop algorithms for portfolio construction in Fixed Income, collaborating with PM and Technology teams, while utilizing quantitative skills and programming expertise.

Lead the Lending analytics team at Chime, driving strategy and execution for analytics that supports lending products. Collaborate with cross-functional teams to influence decision-making, manage a team of analysts, and translate data into actionable insights.

Lead the Lending analytics team at Chime, driving analytics strategy, managing teams, and influencing product decisions to enhance financial health.

As a Manager in Data Governance at PwC, you will lead data governance strategies, supervise teams, manage client accounts, analyze data for decision-making, and ensure compliance with standards.

As a Senior Manager in Data and Analytics, lead transformative AEM projects, mentor teams, ensure quality, and drive innovation.

Lead data-driven strategies and analytics at PwC, motivating teams to improve business performance and decision-making through advanced techniques and collaboration.

The Quantitative Researcher will conduct original research, utilize data science skills, collaborate across teams, and generate insights for clients.

As a Staff Data Platform Engineer, you will oversee the strategy, architecture, and operation of data and AI platforms, mentor teams, and resolve complex challenges using advanced data solutions.

Lead a team in providing data-driven market access strategies, leveraging analytics and client collaboration to optimize product value and access goals.

As a Distinguished Software Data Engineer, you will define technical strategies, mentor engineers, and optimize data platforms for AI readiness at Capital One.

The Senior Analytics Consultant will lead complex analytics initiatives, develop insights from data, and influence stakeholders in consumer banking.

The FP&A Analyst will manage COGS budgets, perform financial analysis, develop forecasting models, and provide strategic insights to leadership.

The role involves defining product metrics, building analytics infrastructure, analyzing user behavior, and informing product decisions through data-driven insights.